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Most cited papers in Numerical methods in inverse problems

Numerical methods in inverse problems

What are the most cited papers in Numerical methods in inverse problems?

The most cited paper in Numerical methods in inverse problems is "A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems" (Amir Beck, Marc Teboulle, 2009), with 12,347 citations. Next come "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint" (5,044) and "Function minimization by conjugate gradients" (4,962).

Showing 50 of 100 papers. Every paper with more than 670 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems Amir Beck, Marc Teboulle · SIAM Journal on Imaging Sciences 2009 12,347
2 An iterative thresholding algorithm for linear inverse problems with a sparsity constraint Ingrid Daubechies, Michel Defrise, Christine De Mol · Communications on Pure and Applied Mathematics 26 Aug 2004 5,044
3 Function minimization by conjugate gradients Roger Fletcher · The Computer Journal Feb 1964 4,962
4 A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging Antonin Chambolle, Thomas Pock · Journal of Mathematical Imaging and Vision 20 Dec 2010 4,454
5 The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems Per Christian Hansen, Dianne Prost O’Leary · SIAM Journal on Scientific Computing Nov 1993 3,155
6 Correlations in Space and Time and Born Approximation Scattering in Systems of Interacting Particles Léon Van Hove · Physical Review Jul 1954 2,840
7 A constrained regularization method for inverting data represented by linear algebraic or integral equations Stephen W. Provencher · Computer Physics Communications Sep 1982 2,712
8 Signal Recovery by Proximal Forward-Backward Splitting Patrick L. Combettes, Valérie R. Wajs · Multiscale Modeling and Simulation 2005 2,708
9 Proximal Splitting Methods in Signal Processing Patrick L. Combettes, Jean‐Christophe Pesquet · Springer optimization and its applications Book chapter 2011 2,237
10 Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II Luis Álvarez, Pierre-Louis Lions, Jean‐Michel Morel · SIAM Journal on Numerical Analysis Jun 1992 2,221
11 An Interior-Point Method for Large-Scale -Regularized Least Squares Seung-Jean Kim, Kwangmoo Koh, Michael S. Lustig et al. · IEEE Journal of Selected Topics in Signal Processing Dec 2007 2,107
12 A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration José M. Bioucas‐Dias, Mário A. T. Figueiredo · IEEE Transactions on Image Processing 21 Nov 2007 2,100
13 Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems Amir Beck, Marc Teboulle · IEEE Transactions on Image Processing 28 Jul 2009 2,056
14 Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm Irina F. Gorodnitsky, Bhaskar D. Rao · IEEE Transactions on Signal Processing Mar 1997 1,857
15 An Iterative Regularization Method for Total Variation-Based Image Restoration Stanley Osher, Martin Burger, Donald Goldfarb et al. · Multiscale Modeling and Simulation 2005 1,827
16 On a quasi-linear parabolic equation occurring in aerodynamics Julian D. Cole · Quarterly of Applied Mathematics Oct 1951 1,765
17 REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems Per Christian Hansen · Numerical Algorithms Mar 1994 1,734
18 The Fractional Order Fourier Transform and its Application to Quantum Mechanics Victor Namias · IMA Journal of Applied Mathematics 1980 1,722
19 Total Generalized Variation Kristian Bredies, Karl K. Kunisch, Thomas Pock · SIAM Journal on Imaging Sciences 2010 1,567
20 The Resolving Power of Gross Earth Data George Backus, Freeman Gilbert · Geophysical Journal International Open access Oct 1968 1,540
21 Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods Hédy Attouch, Jérôme Bolte, Benar Fux Svaiter · Mathematical Programming 19 Aug 2011 1,494
22 The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems E Weinan, Bing Yu · Communications in Mathematics and Statistics 14 Feb 2018 1,471
23 Smoothing noisy data with spline functions Grace Wahba · Numerische Mathematik Oct 1975 1,471
24 Nonlinear Schr�dinger equations and sharp interpolation estimates Michael I. Weinstein · Communications in Mathematical Physics Dec 1983 1,451
25 A multiprojection algorithm using Bregman projections in a product space Yair Censor, Tommy Elfving · Numerical Algorithms Sep 1994 1,384
26 Gradient methods for minimizing composite functions Yu. Nesterov · Mathematical Programming 20 Dec 2012 1,383
27 Training with Noise is Equivalent to Tikhonov Regularization Chris M. Bishop · Neural Computation 1995 1,352
28 Asymptotic symmetry and local behavior of semilinear elliptic equations with critical sobolev growth Luis A. Caffarelli, Basilis Gidas, Joel Spruck · Communications on Pure and Applied Mathematics Apr 1989 1,346
29 A unified treatment of some iterative algorithms in signal processing and image reconstruction Charles L. Byrne · Inverse Problems Open access 14 Nov 2003 1,343
30 Exact Reconstruction of Sparse Signals via Nonconvex Minimization Rick Chartrand · IEEE Signal Processing Letters 17 Sep 2007 1,315
31 Boundary regularity for solutions of degenerate elliptic equations Gary M. Lieberman · Nonlinear Analysis Nov 1988 1,306
32 Regularity of the obstacle problem for a fractional power of the laplace operator Luís Silvestre · Communications on Pure and Applied Mathematics 9 Aug 2006 1,281
33 On frame indifferent formulation of the Maxwell–Cattaneo model of finite-speed heat conduction Christomir Christov · Mechanics Research Communications 9 Dec 2008 1,256
34 Initial value/boundary value problems for fractional diffusion-wave equations and applications to some inverse problems Kenichi Sakamoto, Masahiro Yamamoto · Journal of Mathematical Analysis and Applications Open access 30 Apr 2011 1,238
35 Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality Hédy Attouch, Jérôme Bolte, Patrick Redont et al. · Mathematics of Operations Research 30 Apr 2010 1,234
36 A general theory of heat conduction with finite wave speeds Morton E. Gurtin, ALLEN C. PIPKIN · Archive for Rational Mechanics and Analysis 1968 1,221
37 Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method Weng Cho Chew, Y.M. Wang · IEEE Transactions on Medical Imaging Jun 1990 1,131
38 Lebesgue and Sobolev Spaces with Variable Exponents Vicentiu D. Radulescu, Dusan D. Repovs Book chapter 11 Jun 2015 1,094
39 Nonmonotone Spectral Projected Gradient Methods on Convex Sets Ernesto G. Birgin, José Mario Martínez, Marcos Raydan · SIAM Journal on Optimization Open access 2000 1,093
40 $L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver Zongben Xu, Xiangyu Chang, Fengmin Xu et al. · IEEE Transactions on Neural Networks and Learning Systems 29 May 2012 1,089
41 Inverse Heat Transfer: Fundamentals and Applications MN Ozisik, HRB Orlande, A.J. Kassab · Applied Mechanics Reviews 2002 1,085
42 Non-linear elliptic and parabolic equations involving measure data Lucio Boccardo, Thierry Gallouët · Journal of Functional Analysis Open access Nov 1989 1,059
43 MoDL: Model-Based Deep Learning Architecture for Inverse Problems Hemant K. Aggarwal, Merry P. Mani, Mathews Jacob · IEEE Transactions on Medical Imaging Open access 13 Aug 2018 1,053
44 Tikhonov Regularization and Total Least Squares Gene Howard Golub, Per Christian Hansen, Dianne Prost O’Leary · SIAM Journal on Matrix Analysis and Applications 1999 1,049
45 Minimax estimation via wavelet shrinkage David L. Donoho, Iain M. Johnstone · The Annals of Statistics Open access Jun 1998 1,031
46 Image Restoration by the Method of Convex Projections: Part 1ߞTheory Dante C. Youla, H. Webb · IEEE Transactions on Medical Imaging Oct 1982 1,030
47 Fading memory and the problem of approximating nonlinear operators with Volterra series Stephen Boyd, Leon Ong Chua · IEEE Transactions on Circuits and Systems Nov 1985 1,001
48 Basic error estimates for elliptic problems Philippe G. Ciarlet · Handbook of numerical analysis Book chapter 1991 988
49 Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit Deanna Needell, Roman Vershynin · Foundations of Computational Mathematics 4 Jun 2008 960
50 Curvature and the eigenvalues of the Laplacian Henry P. McKean, I. M. Singer · Journal of Differential Geometry 1967 955

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.